Ipek Oguz, Ph.D.
Affiliations: | 2009 | Computer Science | University of North Carolina, Chapel Hill, Chapel Hill, NC |
Area:
Medical Image AnalysisGoogle:
"Ipek Oguz"Mean distance: 18.32 (cluster 17)
Parents
Sign in to add mentor| Martin A. Styner | grad student | 2009 | UNC Chapel Hill | |
| (Groupwise shape correspondence with local features.) | ||||
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Publications
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| Larson KE, Oguz I. (2022) Synthetic Atrophy for Longitudinal Cortical Surface Analyses. Frontiers in Neuroimaging. 1: 861687 |
| Liu Y, Bao S, Englot DJ, et al. (2022) Hierarchical particle optimization for cortical shape correspondence in temporal lobe resection. Computers in Biology and Medicine. 152: 106414 |
| Stoebner ZA, Hett K, Lyu I, et al. (2022) Comprehensive shape analysis of the cortex in Huntington's disease. Human Brain Mapping |
| Liu Y, Englot DJ, Morgan VL, et al. (2021) Establishing Surface Correspondence for Post-surgical Cortical Thickness Changes in Temporal Lobe Epilepsy. Proceedings of Spie--the International Society For Optical Engineering. 11596 |
| Hett K, Lyu I, Trujillo P, et al. (2021) Anatomical texture patterns identify cerebellar distinctions between essential tremor and Parkinson's disease. Human Brain Mapping |
| Carass A, Roy S, Gherman A, et al. (2020) Evaluating White Matter Lesion Segmentations with Refined Sørensen-Dice Analysis. Scientific Reports. 10: 8242 |
| Oguz I, Yushkevich N, Pouch A, et al. (2020) Minimally interactive placenta segmentation from three-dimensional ultrasound images. Journal of Medical Imaging (Bellingham, Wash.). 7: 014004 |
| Malone JD, El-Haddad MT, Yerramreddy SS, et al. (2019) Handheld spectrally encoded coherence tomography and reflectometry for motion-corrected ophthalmic optical coherence tomography and optical coherence tomography angiography. Neurophotonics. 6: 041102 |
| Yushkevich PA, Pashchinskiy A, Oguz I, et al. (2018) User-Guided Segmentation of Multi-modality Medical Imaging Datasets with ITK-SNAP. Neuroinformatics |
| Guo Z, Kashyap S, Sonka M, et al. (2017) Machine learning in a graph framework for subcortical segmentation. Proceedings of Spie--the International Society For Optical Engineering. 10133 |